public class ParquetTableScan extends SparkPlan implements scala.Product, scala.Serializable
ParquetRelation as a RDD[Row].| Constructor and Description |
|---|
ParquetTableScan(scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> attributes,
org.apache.spark.sql.parquet.ParquetRelation relation,
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression> columnPruningPred) |
| Modifier and Type | Method and Description |
|---|---|
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> |
attributes() |
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression> |
columnPruningPred() |
RDD<org.apache.spark.sql.catalyst.expressions.Row> |
execute()
Runs this query returning the result as an RDD.
|
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> |
normalOutput() |
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> |
output() |
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> |
partOutput() |
ParquetTableScan |
pruneColumns(scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> prunedAttributes) |
org.apache.spark.sql.parquet.ParquetRelation |
relation() |
codegenEnabled, executeCollect, makeCopy, outputPartitioning, requiredChildDistributionexpressions, org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1, org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionUp$1, outputSet, printSchema, schema, schemaString, transformAllExpressions, transformExpressions, transformExpressionsDown, transformExpressionsUpapply, argString, asCode, children, collect, fastEquals, flatMap, foreach, generateTreeString, getNodeNumbered, id, map, mapChildren, nextId, nodeName, numberedTreeString, otherCopyArgs, sameInstance, simpleString, stringArgs, toString, transform, transformChildrenDown, transformChildrenUp, transformDown, transformUp, treeString, withNewChildrenproductArity, productElement, productIterator, productPrefixinitialized, initializeIfNecessary, initializeLogging, initLock, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarningpublic ParquetTableScan(scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> attributes,
org.apache.spark.sql.parquet.ParquetRelation relation,
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression> columnPruningPred)
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> attributes()
public org.apache.spark.sql.parquet.ParquetRelation relation()
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Expression> columnPruningPred()
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> normalOutput()
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> partOutput()
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> output()
output in class org.apache.spark.sql.catalyst.plans.QueryPlan<SparkPlan>public RDD<org.apache.spark.sql.catalyst.expressions.Row> execute()
SparkPlanpublic ParquetTableScan pruneColumns(scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> prunedAttributes)